def generateDomain(self):
self.nLocs = (self.numberOfLines * self.nPrivatePerLine) + self.nShared
self.maxLocationsPerLine = int(math.ceil(float(self.nShared * self.maxLinesPerSharedLocation) / float(self.numberOfLines)))
self.maxLocationsPerLine += self.nPrivatePerLine;
self.auction = [-1] * self.nLocs
self.sharedSites = []
self.agentWiseLines = []
print "Experiment: ", self.experiment
print "Theta: ", self.theta
print "gamma: ", self.gamma
print "initialx: ", self.initialxval
print "alpha: ", self.alpha
print "beta: ", self.beta
print "deltaFinal: ", self.deltaFinal
print "\nagents: ", self.agents
print "Number of Lines: ", self.numberOfLines
print "PrivatePerLine: ", self.nPrivatePerLine
print "nShared: ", self.nShared
print "nLocs: ", self.nLocs
print "Agent Max: ", self.maxLocationsPerLine
for i in xrange(0, self.numberOfLines):
lst = Line(i)
for j in xrange(0, self.nPrivatePerLine):
num = random.randint(0, self.nLocs - 1)
while self.auction[num] != -1:
num = random.randint(0, self.nLocs - 1)
self.auction[num] = i
lst.locations.append(num)
self.lines.append(lst)
stores = numpy.array([self.maxLocationsPerLine]*self.numberOfLines)
for i in xrange(0, self.nLocs):
if self.auction[i] != -1:
print "Location " + str(i) + " Auctioned to: " + str(self.auction[i])
continue
tobesharedbetween = random.randint(self.minLinesPerSharedLocation, self.maxLinesPerSharedLocation)
assert tobesharedbetween >= self.minLinesPerSharedLocation
assert tobesharedbetween <= self.maxLinesPerSharedLocation
setOfLines = set()
sort_index = numpy.argsort(-stores)
for j in xrange(0, tobesharedbetween):
line = sort_index[j]
setOfLines.add(line)
stores[line] -= 1
for line in setOfLines:
self.lines[line].locations.append(i)
self.lines[line].sharedLocations.append(i)
assert len(setOfLines) == tobesharedbetween
self.auction[i] = setOfLines
print "Location " + str(i) + " Auctioned to: " + str(setOfLines)
self.sharedSites.append(i)
print "Auctioned: ", self.auction
print "SharedSites: ", self.sharedSites
line_to_give = 0
for i in xrange(0, self.agents):
num = line_to_give
self.lines[num].owners.append(i)
self.agentWiseLines.append(self.lines[num])
line_to_give += 1
if line_to_give % self.numberOfLines == 0:
line_to_give = 0
print "\n=====LINES====="
for line in self.lines:
print line
print "\n==== AGENT WISE LINE ====="
for i in xrange(0, self.agents):
print "Agent "+str(i)+" : Line : "+ str(self.agentWiseLines[i].index)
self.actionTimes = []
self.rewardCollection = []
self.creward = []
totalPow = random.randint(self.minT, self.maxT)
self.T = 2 ** totalPow
for i in xrange(0, self.agents):
t = 2 ** random.randint(self.minTaction, self.maxTaction)
self.actionTimes.append(t)
for i in xrange(0, self.agents):
lst = []
nlocs = self.agentWiseLines[i].getNumberOfLocations()
locsact = self.agentWiseLines[i].locations
for j in xrange(0, nlocs):
rew = random.randint(self.rmi, self.rma)
lst.append(rew)
self.rewardCollection.append(lst)
for x in self.sharedSites:
rew = random.randint(2.0 * self.rma, 3.0 * self.rma)
self.creward.append(rew)
#Scaling rewards
print "\n\nTotalTime: ", self.T
print "Action: ", self.actionTimes
print "MDPRew: ", self.rewardCollection
print "ConsReward: ", self.creward
self.R_min = min(self.creward)
self.R_max = max(self.creward)
for i in xrange(0, self.agents):
mmin = min(self.rewardCollection[i])
mmax = max(self.rewardCollection[i])
if mmin < self.R_min:
self.R_min = mmin
if mmax > self.R_max:
self.R_max = mmax
print "Rmin: ", self.R_min
print "Rmax: ", self.R_max
self.writeConfig()
